{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d4bdd413",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "a9834332",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['STIXSizeThreeSym',\n",
       " 'cmsy10',\n",
       " 'DejaVu Sans',\n",
       " 'STIXSizeFiveSym',\n",
       " 'cmss10',\n",
       " 'STIXNonUnicode',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Serif',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXGeneral',\n",
       " 'DejaVu Serif Display',\n",
       " 'STIXSizeOneSym',\n",
       " 'DejaVu Sans Mono',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXGeneral',\n",
       " 'DejaVu Sans Display',\n",
       " 'STIXGeneral',\n",
       " 'cmtt10',\n",
       " 'cmmi10',\n",
       " 'cmr10',\n",
       " 'DejaVu Serif',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXSizeThreeSym',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXSizeTwoSym',\n",
       " 'DejaVu Sans Mono',\n",
       " 'cmex10',\n",
       " 'STIXSizeOneSym',\n",
       " 'STIXNonUnicode',\n",
       " 'cmb10',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Sans',\n",
       " 'STIXGeneral',\n",
       " 'STIXSizeTwoSym',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Sans',\n",
       " 'Lao UI',\n",
       " 'Constantia',\n",
       " 'Vrinda',\n",
       " 'MS Mincho',\n",
       " 'Estrangelo Edessa',\n",
       " 'Segoe UI',\n",
       " 'Palatino Linotype',\n",
       " 'FreesiaUPC',\n",
       " 'Cordia New',\n",
       " 'LilyUPC',\n",
       " 'Constantia',\n",
       " 'FreesiaUPC',\n",
       " 'JasmineUPC',\n",
       " 'Consolas',\n",
       " 'Constantia',\n",
       " 'Aparajita',\n",
       " 'Microsoft Himalaya',\n",
       " 'David',\n",
       " 'KaiTi',\n",
       " 'Times New Roman',\n",
       " 'Simplified Arabic',\n",
       " 'Tahoma',\n",
       " 'DejaVu Sans Mono',\n",
       " 'Utsaah',\n",
       " 'JasmineUPC',\n",
       " 'Utsaah',\n",
       " 'Shonar Bangla',\n",
       " 'NumberOnly',\n",
       " 'Trebuchet MS',\n",
       " 'Comic Sans MS',\n",
       " 'MingLiU',\n",
       " 'Courier New',\n",
       " 'Iskoola Pota',\n",
       " 'Cambria',\n",
       " 'Palatino Linotype',\n",
       " 'DFKai-SB',\n",
       " 'BrowalliaUPC',\n",
       " 'LilyUPC',\n",
       " 'Malgun Gothic',\n",
       " 'Microsoft JhengHei',\n",
       " 'CordiaUPC',\n",
       " 'DejaVu Sans Mono',\n",
       " 'Gabriola',\n",
       " 'Meiryo',\n",
       " 'BrowalliaUPC',\n",
       " 'Trebuchet MS',\n",
       " 'Verdana',\n",
       " 'Kokila',\n",
       " 'Segoe UI',\n",
       " 'CordiaUPC',\n",
       " 'Microsoft New Tai Lue',\n",
       " 'Ebrima',\n",
       " 'EucrosiaUPC',\n",
       " 'Browallia New',\n",
       " 'Verdana',\n",
       " 'SimSun-ExtB',\n",
       " 'Miriam Fixed',\n",
       " 'AngsanaUPC',\n",
       " 'Utsaah',\n",
       " 'Kartika',\n",
       " 'Simplified Arabic Fixed',\n",
       " 'Verdana',\n",
       " 'JasmineUPC',\n",
       " 'Browallia New',\n",
       " 'Microsoft PhagsPa',\n",
       " 'IrisUPC',\n",
       " 'Kokila',\n",
       " 'DilleniaUPC',\n",
       " 'FZCuHeiSongS-B-GB',\n",
       " 'DejaVu Math TeX Gyre',\n",
       " 'Tunga',\n",
       " 'Gautami',\n",
       " 'FangSong',\n",
       " 'DejaVu Sans Mono',\n",
       " 'Cordia New',\n",
       " 'Aparajita',\n",
       " 'Calibri',\n",
       " 'LilyUPC',\n",
       " 'Kokila',\n",
       " 'Wingdings',\n",
       " 'Arial',\n",
       " 'EucrosiaUPC',\n",
       " 'Levenim MT',\n",
       " 'Angsana New',\n",
       " 'Cordia New',\n",
       " 'MS Gothic',\n",
       " 'Segoe Print',\n",
       " 'Rod',\n",
       " 'KodchiangUPC',\n",
       " 'Meiryo',\n",
       " 'DilleniaUPC',\n",
       " 'Angsana New',\n",
       " 'Microsoft Sans Serif',\n",
       " 'MT Extra',\n",
       " 'Segoe UI',\n",
       " 'Verdana',\n",
       " 'Candara',\n",
       " 'Times New Roman',\n",
       " 'Georgia',\n",
       " 'Arial',\n",
       " 'CordiaUPC',\n",
       " 'Segoe Script',\n",
       " 'Sakkal Majalla',\n",
       " 'KodchiangUPC',\n",
       " 'Trebuchet MS',\n",
       " 'FZLanTingHeiS-UL-GB',\n",
       " 'AngsanaUPC',\n",
       " 'IrisUPC',\n",
       " 'Consolas',\n",
       " 'Microsoft Tai Le',\n",
       " 'Candara',\n",
       " 'Franklin Gothic Medium',\n",
       " 'Euphemia',\n",
       " 'SimSun',\n",
       " 'FreesiaUPC',\n",
       " 'Raavi',\n",
       " 'Calibri',\n",
       " 'Microsoft JhengHei',\n",
       " 'Gautami',\n",
       " 'Kokila',\n",
       " 'Cambria',\n",
       " 'EucrosiaUPC',\n",
       " 'Sakkal Majalla',\n",
       " 'Georgia',\n",
       " 'Times New Roman',\n",
       " 'Microsoft PhagsPa',\n",
       " 'Kalinga',\n",
       " 'BrowalliaUPC',\n",
       " 'Latha',\n",
       " 'Mangal',\n",
       " 'Angsana New',\n",
       " 'MoolBoran',\n",
       " 'Microsoft YaHei',\n",
       " 'Courier New',\n",
       " 'Malgun Gothic',\n",
       " 'BrowalliaUPC',\n",
       " 'Levenim MT',\n",
       " 'Consolas',\n",
       " 'Times New Roman',\n",
       " 'Segoe UI',\n",
       " 'Vrinda',\n",
       " 'Mongolian Baiti',\n",
       " 'Candara',\n",
       " 'Aharoni',\n",
       " 'Microsoft Yi Baiti',\n",
       " 'IrisUPC',\n",
       " 'Shruti',\n",
       " 'Raavi',\n",
       " 'Segoe UI',\n",
       " 'Latha',\n",
       " 'Corbel',\n",
       " 'Aparajita',\n",
       " 'Cordia New',\n",
       " 'FreesiaUPC',\n",
       " 'Khmer UI',\n",
       " 'Comic Sans MS',\n",
       " 'Segoe Script',\n",
       " 'Lucida Sans Unicode',\n",
       " 'Calibri',\n",
       " 'Aparajita',\n",
       " 'Kartika',\n",
       " 'Vani',\n",
       " 'Microsoft Uighur',\n",
       " 'Miriam',\n",
       " 'Khmer UI',\n",
       " 'Vijaya',\n",
       " 'Traditional Arabic',\n",
       " 'Leelawadee',\n",
       " 'Narkisim',\n",
       " 'Vani',\n",
       " 'Tunga',\n",
       " 'MingLiU-ExtB',\n",
       " 'Batang',\n",
       " 'Leelawadee',\n",
       " 'Browallia New',\n",
       " 'Cambria',\n",
       " 'Segoe Print',\n",
       " 'Palatino Linotype',\n",
       " 'Palatino Linotype',\n",
       " 'AngsanaUPC',\n",
       " 'DilleniaUPC',\n",
       " 'KodchiangUPC',\n",
       " 'Georgia',\n",
       " 'Microsoft Tai Le',\n",
       " 'Arabic Typesetting',\n",
       " 'Vijaya',\n",
       " 'Shruti',\n",
       " 'Browallia New',\n",
       " 'Gisha',\n",
       " 'Franklin Gothic Medium',\n",
       " 'JasmineUPC',\n",
       " 'Corbel',\n",
       " 'Courier New',\n",
       " 'EucrosiaUPC',\n",
       " 'Constantia',\n",
       " 'Courier New',\n",
       " 'Microsoft YaHei',\n",
       " 'DokChampa',\n",
       " 'David',\n",
       " 'AngsanaUPC',\n",
       " 'Mangal',\n",
       " 'FrankRuehl',\n",
       " 'Symbol',\n",
       " 'Simplified Arabic',\n",
       " 'Arial',\n",
       " 'CordiaUPC',\n",
       " 'Calibri',\n",
       " 'SimHei',\n",
       " 'Shonar Bangla',\n",
       " 'Segoe UI',\n",
       " 'Cambria',\n",
       " 'Trebuchet MS',\n",
       " 'Consolas',\n",
       " 'Kalinga',\n",
       " 'Arial',\n",
       " 'Lucida Console',\n",
       " 'Andalus',\n",
       " 'Gisha',\n",
       " 'Sylfaen',\n",
       " 'Ebrima',\n",
       " 'Corbel',\n",
       " 'Angsana New',\n",
       " 'Nyala',\n",
       " 'Traditional Arabic',\n",
       " 'Georgia',\n",
       " 'DejaVu Sans Mono',\n",
       " 'Lao UI',\n",
       " 'MV Boli',\n",
       " 'DilleniaUPC',\n",
       " 'Arial',\n",
       " 'Candara',\n",
       " 'IrisUPC',\n",
       " 'Webdings',\n",
       " 'Plantagenet Cherokee',\n",
       " 'Gulim',\n",
       " 'Impact',\n",
       " 'DaunPenh',\n",
       " 'Iskoola Pota',\n",
       " 'Marlett',\n",
       " 'LilyUPC',\n",
       " 'Tahoma',\n",
       " 'KodchiangUPC',\n",
       " 'Utsaah',\n",
       " 'Corbel',\n",
       " 'Segoe UI Symbol',\n",
       " 'Microsoft New Tai Lue']"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib.font_manager import FontManager#导入中文\n",
    "fm = FontManager()\n",
    "[font.name for font in fm.ttflist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "aeb71996",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'list' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-88-0ddf1a81916d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m9\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m9\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[0mimage_male\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpie\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mp1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mradius\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mautopct\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'%0.2f%%'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'低'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'中'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'高'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtextprops\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m'family'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;34m'Kaiti'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'fontsize'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m25\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'      男生1000米跑成绩      '\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: 'list' object is not callable"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "male_test = pd.read_excel('./体测分数_男生.xls')  #导入数据\n",
    "female_test = pd.read_excel('./体测分数_女生.xls')\n",
    "male_test1 = male_test['男1000米跑分数']\n",
    "male_test1 = pd.DataFrame(data= male_test1)\n",
    "male_test1 = male_test1[male_test1.apply(np.sum,axis=1)!=0] #去除为0数据\n",
    "male_test1 = pd.cut(male_test.男1000米跑,bins=3,right=False,labels=['低','中','高'])\n",
    "p1= pd.value_counts(male_test1)\n",
    "plt.figure(figsize=(9,9))\n",
    "image_male = plt.pie(p1,radius=1, autopct='%0.2f%%',labels=['低','中','高'],textprops={'family':'Kaiti','fontsize':25})\n",
    "plt.title(label='      男生1000米跑成绩      ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "233d93e8",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "male_test1 = male_test['男跳远分数']\n",
    "male_test1 = pd.DataFrame(data= male_test1)\n",
    "male_test1 = male_test1[male_test1.apply(np.sum,axis=1)!=0] #去除为0数据\n",
    "male_test1 = pd.cut(male_test.男跳远分数,bins=3,right=False,labels=['低','中','高'])\n",
    "p1= pd.value_counts(male_test1)\n",
    "plt.figure(figsize=(9,9))\n",
    "image_male1 = plt.pie(p1,radius=1, autopct='%0.2f%%',labels=['低','中','高'],textprops={'family':'Kaiti','fontsize':25})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "6f55a993",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")#忽略报错提示\n",
    "female_test1 = female_test['女800米跑分数']\n",
    "female_test1 = pd.cut(female_test.女800米跑分数,bins=4,right=False,labels=['差','良','中','优'])\n",
    "p1= pd.value_counts(female_test1)\n",
    "p1\n",
    "plt.figure(figsize=(9,9))\n",
    "image_female1 = plt.bar(x =p1.index,height=p1,color = plt.cm.RdBu_r(np.linspace(0,1,p1.size)))\n",
    "plt.box(False)\n",
    "plt.grid(axis = 'y',color = 'k')\n",
    "plt.tick_params(labelsize = 18,rotation = 60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "c95c308a",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "female_test1 = female_test['女跳远分数']\n",
    "female_test1 = pd.cut(female_test.女跳远分数,bins=4,right=False,labels=['差','良','中','优'])\n",
    "p1= pd.value_counts(female_test1)\n",
    "plt.figure(figsize=(9,9))\n",
    "image_female1 = plt.bar(x =p1.index,height=p1,color = plt.cm.RdBu_r(np.linspace(0,1,p1.size)))\n",
    "plt.box(False)\n",
    "plt.grid(axis = 'y',color = 'k')\n",
    "plt.tick_params(labelsize = 18,rotation = 60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9cb50182",
   "metadata": {},
   "outputs": [],
   "source": [
    "#问题：使用plt.title总是报错not callable，尝试多种方法解决无果。\n",
    "#柱状图中的横坐标中文应该怎么调整？\n",
    "#最后一题不是很有思路"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
